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Location: New York, NY (HQ); San Francisco, CA; Remote (US) Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE Ramp wins when our customers win. Ramp’s customer base is scaling rapidly, spanning more businesses, more users, and more use cases across increasingly complex finance operations. At the same time, our expanding product surface area — from cards and expense management to bill payments, procurement, vendor management, accounting automation, and emerging products — is creating more nuanced customer needs and more cross-functional support moments. AI is changing what is possible in parallel: giving CX new ways to route, resolve, and guide customers, while raising the bar for where human judgment, specialization, and consultative support matter most. We are hiring a Director to lead a critical part of our omni-channel Customer Experience organization: the teams and leaders serving customers across Phone, Email, and Chat. You will lead within a 24/7 customer operation, ensuring the right coverage, leadership, and customer experience across channels. This role is accountable for the performance of its channel portfolio, helping customers get the right answer quickly and delivering consistent results across quality, speed, productivity, and customer satisfaction. The role combines direct leadership of channel teams with close partnership across CX Operations, CX Specialized teams, CX AI Ops, and Product Operations. You will develop strong managers and frontline teams, create real accountability, and stay close enough to the work to understand where customers and teams are getting stuck. You will translate the department’s direction into clear priorities, stronger operating routines, and measurable improvements across Phone, Email, and Chat. Because Ramp’s CX team sits within the Product organization, this role has close ties to the technical teams and products our customers use every day. That proximity gives CX a unique opportunity to turn frontline insight into better workflows, stronger product feedback loops, and an AI-powered way of working. This role is a strong fit for a thoughtful, hands-on leader who learns quickly, raises the bar, and makes clear decisions in a fast-changing environment. You are comfortable owning the day-to-day, rolling up your sleeves to understand the work and the product deeply, developing people, setting high standards, and turning complex problems into clear plans that improve outcomes for customers and teams. You will help define how managers lead, how frontline teams use AI and automation, where human judgment matters most, how channels work together, and how CX scales through Ramp’s next chapter. If you love building high-performing teams, solving hard operational problems, and helping customers win through rapid product, business, and AI-driven change, this role is for you. WHAT YOU’LL DO - Own day-to-day channel execution — lead Phone, Email, and Chat teams, stay close to the work, and drive frontline performance across customer satisfaction, quality, service levels, resolution quality, and productivity. - Develop CX leadership — coach Managers, set clear expectations, and build accountability for team performance and customer outcomes. - Serve as an escalation point — help resolve high-priority customer and internal escalations, bringing sound judgment, urgency, and clear communication to complex issues. - Improve tools, workflows, and channel execution — use product knowledge, customer feedback, quality findings, and performance data to improve operating routines, resolve cross-channel trade-offs, and partner with CX Operations, CX Specialized teams, AI, Product Operations, Product, Engineering, Risk, and other stakeholders on better workflows and automation opportunities. - Challenge how we operate — evaluate whether our metrics, workflows, team structures, training, and operating model meet today’s customer and business needs. Bring a founder mindset by questioning assumptions, testing new approaches, and helping the organization evolve. - Shape the AI-powered future of CX — define how CX should evolve as Ramp grows, including how managers lead, how frontline teams use AI and automation, where specialization improves the customer experience, and where human judgment should be elevated. - Turn strategy and emerging opportunities into scalable operations — translate department priorities and new business areas into clear channel plans, repeatable processes, strong change management, and high adoption across Phone, Email, and Chat. WHAT YOU NEED - Experience as a leader who has managed large, complex operational teams in a fast-paced environment; traditional support experience is valuable but not required. - Exceptional learning agility and horsepower, with startup or similarly high-ownership operating experience; you learn new domains quickly, move through ambiguity, and build structure without waiting for perfect information. - A record of improving customer-facing operations through rigorous analysis, strategic problem solving, and strong execution, including finding practical solutions to complex problems others may miss. - An empathetic, direct leadership style that develops people while holding a high personal and team bar for performance, quality, ownership, and follow-through. - Strong written and verbal communication, including the ability to align teams and cross-functional partners around difficult decisions. - A builder mentality around technology and operations, with experience using AI, automation, or workflow tooling to transform the customer and team experience and drive changes from idea to adoption. - Curiosity about the business behind the support motion, with the ability to connect customer needs, product complexity, frontline workflows, and company priorities. NICE TO HAVES - Experience leading multiple customer-facing channels, such as Phone, Email, Chat, or other real-time and asynchronous support operations. - Experience in FinTech, financial services, or another complex, highly regulated environment. - Experience partnering with operations, product, or tooling teams to improve customer-facing workflows across multiple teams. - Experience scaling customer operations at a high-growth startup. COMPENSATION For candidates located in New York City or San Francisco, the base salary range for this role is $220,000–$290,000. For candidates located in all other locations, the base salary range will be between $190,000-$260,000. BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Enterprise Account Executive at Anthropic, you'll join the foundational team at the forefront of introducing our cutting-edge AI productivity API and SaaS solutions to insurance organisations across the EMEA markets. You'll drive the adoption of safe, frontier AI by securing strategic deals with insurers, reinsurers, brokers and MGAs. You'll leverage your consultative sales expertise in the insurance sector to propel revenue growth while becoming a trusted partner to insurance stakeholders, helping them embed and deploy AI while uncovering its full range of capabilities in underwriting, claims handling, and distribution. In collaboration with GTM, Product, and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with insurance decision-makers. The ideal candidate will have a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you will help enterprises obtain new capabilities while also advancing the ethical development of AI. Responsibilities: Win new business and drive revenue for Anthropic within the insurance sector. Navigate complex insurance organisations to reach key decision-makers, educate them about our services, and help them succeed with Anthropic. You'll own the full sales cycle, from first outbound to close Design and execute innovative sales strategies tailored to insurance procurement cycles, vendor risk assessment, and budgeting processes to meet and exceed revenue quotas. Analyse insurance market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns Spearhead market expansion by identifying new use cases within underwriting teams, claims operations, actuarial functions, and distribution channels. Collaborate cross-functionally to differentiate our offerings for insurance applications Navigate complex insurance stakeholder ecosystems including executives, underwriting and claims leadership, IT departments, risk and compliance functions, and procurement offices to build consensus Inform product roadmaps and features by gathering feedback from users and conveying insurance market needs. Provide insights that strengthen our value proposition for insurance Continuously refine the insurance sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimise sales productivity and consistency You may be a good fit if you have: 8+ years of B2B sales experience in SaaS, API solutions, or emerging technologies A track record of managing complex sales cycles within insurance organisations and securing strategic deals by understanding both technical requirements and insurance use cases Demonstrated ability to navigate insurance organisational structures and procurement processes, building consensus among diverse stakeholders including executives, underwriting and claims leadership, and IT departments Extensive experience negotiating complex agreements within insurance procurement frameworks, vendor risk and third-party assurance policies Proven experience exceeding revenue targets by effectively managing an evolving pipeline and sales process Excellent communication skills and the ability to present confidently to various insurance audiences, from underwriters and claims managers to senior executives Deep understanding of insurance buying cycles, decision-making processes, and key pain points, including the regulatory environment insurers operate within A strategic, analytical approach to assessing the insurance market combined with creative, tactical execution to capture opportunities A passion for and/or experience with advanced AI systems and their applications. You feel strongly about ensuring frontier AI systems are developed safely and ethically for insurance use The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £280,000 — £330,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Claude is now good at security work. It finds and fixes vulnerabilities in real codebases, triages alerts, and reasons about how an attacker would move through a system, and it improves with every model we ship. Many security platforms build on Claude and we shipped our first security product this year (Claude Security). You'll lead the cybersecurity product at Anthropic. That means setting the strategy, deciding what we build and where we partner, shipping products, and being the company's voice with CISOs, security vendors, and researchers. Some of this is 0→1 (our first-party products are a few months old and the next ones don't exist yet) and some of it is scaling what already works. Security touches nearly every team at the company. Key responsibilities Set Anthropic's cybersecurity product portfolio strategy and be accountable for the results. Ship security products. Vulnerability discovery and remediation in Claude Code today and a broader set of capabilities in the future. Represent Anthropic on security externally, with CISOs, vendors, researchers, governments, and press. Partner with research. Know where the model falls short on security tasks and help build a plan to improve. Work with safeguards and policy on model access for Cybersecurity. Keep the cross-functional threads moving across research, engineering, sales, safeguards, policy, legal, and comms. Minimum qualifications You've spent meaningful time in security, whether building security products, running a security team, or doing the work yourself in application security, detection and response, vulnerability research, or offensive security. You've built products or businesses from scratch and taken them to paying customers. You design for where the models will be rather than where they are. You treat what the model can't do yet as a research target with a reliability bar, and you know what to ship in the meantime. You have strong product judgment and enough technical depth to read a finding and tell whether it's real. You're willing to do the unglamorous work. You communicate well with CISOs, researchers, and executives alike. Preferred qualifications 12+ years of experience building and shipping products, especially in the security space . Fluency with AI products: evaluations, model behavior as part of the product surface Technical background or experience working closely with infrastructure/platform teams Strong technical judgment with ability to go deep on security and infrastructure topics Structured thinking and ability to break down complex compliance requirements into shippable features The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $385,000 — $460,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Atlanta Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. Job Description We are looking for a seasoned underwriter with a background in payments, due diligence, and financial analysis to join our Platforms Underwriting team in Atlanta. You will be part of a team that is responsible for underwriting applications for customers utilizing Checkout.com http://Checkout.com’s solution for platforms, primarily Payment Facilitators, Marketplaces, and Staged Digital Wallet Operators. This team focuses on analysis relevant to Customer Due Diligence, Enhanced Due Diligence, Business Model, Credit, and Financial Analysis. This role offers unique exposure to our core business areas, collaborating closely with our key internal players (Commercial, Compliance, Risk, Legal teams and Senior Management) and our high-value merchants and partners. How you'll make an impact - Conduct business model analysis and a holistic assessment of a customer’s risk profile, leveraging your proficient-level understanding of the risks and requirements of different Platform models (ISVs, Payfacs, Marketplaces, Staged Digital Wallets, MORs). - Conduct customer due diligence and enhanced due diligence analysis on prospective customers including KYC, KYB, PEP, Sanctions, and Adverse Media screening. - Conduct expert-level analysis of P&L, balance sheet, and cash flow statements of Platform models and other high-risk sectors. - Prepare persuasive summaries to internal stakeholders and risk committees, identifying mitigants and making balanced recommendations for each deal. - Represent the Platform Underwriting team in leading and attending customer calls and meetings alongside Sales or Account Managers. - Approve individual credit submissions in line with approval authority. - Identify operational issues and areas for improvement, and make detailed recommendations on how to improve the merchant onboarding experience. - Act as a mentor to new or junior team members through training initiatives and credit approvals. - Foster a culture of collaboration with key internal stakeholders, in particular Sales/Account Managers, and first and second line Risk and Compliance personnel and Legal. - Contribute to department and cross-functional projects/initiatives as required. What we’re looking for - Proficient-level understanding of Checkout's Platform product offering, including features and limitations, and the ability to independently classify different Platform models. - Expert-level financial statement analysis and credit exposure assessment ability. - Demonstrated ability to make sound judgments, balancing risk and reward. - Competent escalation management, acting with urgency to ensure escalations are prioritized, owned, and resolved effectively. - Ability to continually monitor and independently manage competing priorities and adjust accordingly without impact to SLA attainment. - Excellent written and interpersonal communication skills, with concise presentation skills and the ability to deliver complex messages clearly. - A passion for operational improvement initiatives and the ability to contribute to broader department initiatives and projects. - Possess a ‘customer first’ approach to delivering creative solutions. Experience you'll bring to the role - 6+ years of direct experience related to financial analysis or merchant underwriting. - 5+ years of work experience related to due diligence, merchant underwriting, or equivalent underwriting work. - Demonstrable experience related to customer due diligence, enhanced due diligence, merchant underwriting, credit insurance, and/or commercial lending. - Subject matter expertise in AML/CTF and/or underwriting and financial analysis. - Domain expertise within the payments or Fintech industry will be preferable. - Previous experience coaching or mentoring is desirable. Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Location: United States, Aliso Viejo, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Senior Software Engineer – Applied AI & Streaming Aliso Viejo, CA The vision We think AI will change what cloud gaming can be. It can make streamed play faster, more personal, and more accessible, and in some ways better than playing locally. As a Senior Software Engineer on our team, you'll build agents and inference-backed systems into a real-time streaming platform and ship them to players. You'll work where AI meets performance-sensitive systems, and a lot of the problems here are still being defined. What you'll do Design, prototype, and ship AI-powered capabilities across our streaming platform and player experience. Apply inference and agents to real-time performance, player engagement, personalization, and accessibility. Use AI to understand, optimize, and evolve large existing codebases, including our streaming stack. Build and extend our platform in C++, and help shape the technologies and architecture we use next. Build what production AI needs: evaluation, telemetry, guardrails, fallbacks, and attention to latency and cost. Turn ambiguous ideas into demos and experiments, measure what works, and harden it for production. Work AI-natively every day, using coding agents, automation, and rapid exploration, and help the team do the same. Work with a small, focused engineering team and with partners across streaming, platform, and cloud. You're a great fit if you have A BS in Computer Science or a related field, or equivalent practical experience. Senior-level software engineering experience with a track record of owning complex systems end to end. Strong C++ skills from professional work in production codebases. Hands-on experience building and deploying agents or AI-powered features in production. You've worked through evals, regressions, latency, cost, and the ways these systems fail. A strong grasp of how to turn models into products, including context and prompt design, tool use and orchestration, memory and retrieval, model selection, and where inference should run. Fluency with AI-native engineering workflows. Product judgment. You can tell when AI makes an experience better and when it's a gimmick. The ability to work in ambiguity, move quickly, and keep momentum as priorities change. Clear communication, strong ownership, and a habit of making the people around you better. Bonus XP Python, Rust, or other languages used to build and serve AI systems. Low-latency or on-device inference, model optimization, or GPU experience. Real-time media, game streaming, graphics, or video experience. Cloud infrastructure, distributed systems, or production platform experience. Experience building conversational or agentic experiences for games or interactive products. Linux or Windows systems experience. Japanese language or cross-cultural collaboration experience. You enjoy playing video games. Why join us Work on AI problems most engineers never get to. In real-time systems, every millisecond counts, and so does every inference call. Help set the direction. Our AI strategy is still taking shape, and you'll help decide what we build, not just how. Get real ownership. You'll join a small, senior team where ideas go from prototype to production quickly. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $177,300 — $265,900 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We are looking for a Compensation & Benefits Specialist to join our team in London, UK. In this role, you will support the development and implementation of our compensation and benefits programmes, working closely with HR, Finance, and leadership. You will play a key role in salary benchmarking, benefits, payroll-related processes, and reward initiatives, helping us maintain a competitive and compliant approach to compensation and benefits. WHAT YOU'LL DO - Develop and implement compensation and benefits strategies aligned with company goals. - Conduct salary benchmarking, market analysis, and job evaluations to ensure competitive pay structures. - Manage employee benefits programs, including pensions, health insurance, and other perks. - Oversee payroll-related processes in collaboration with finance and HR teams. - Ensure compliance with UK employment laws and regulations related to compensation and benefits. - Support the design of incentive schemes, bonuses, and performance-based rewards. - Provide guidance to employees on compensation structures, benefits, and policies. - Collaborate with leadership to enhance employee satisfaction and retention through effective reward programs. WHAT WE'RE LOOKING FOR - 5+ years of experience in compensation & benefits or a related HR role. - Previous experience in IT, tech, or digital companies is a plus. - Strong analytical skills with the ability to interpret salary data and market trends. - Solid understanding of UK labor laws and compensation regulations. - Experience with HRIS and payroll systems. - Excellent communication and stakeholder management skills. - Proactive and detail-oriented mindset with a strategic approach. WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for experienced backend and distributed systems engineers to join the Agentic Systems team within our Platform organization. Agentic Systems builds Claude Managed Agents: the hosted platform for building, running, and scaling production agents on Claude. Instead of every developer hand-rolling an agent loop, sandboxed execution, state management, credential handling, and error recovery — and reworking all of it with every model release — Managed Agents pairs an Anthropic-built agent harness with production infrastructure for sessions, environments, tools, memory, and permissions, exposed through a small set of composable APIs designed to stay stable as models and harnesses evolve. It powers agentic products inside Anthropic as well as those built by customers on the Claude Platform. Managed Agents is in public beta and growing quickly, and this is still an early team with a lot of surface area left to define. You'll drive 0 → 1 efforts from ideation through GA, own systems end to end from API design through operations, and partner closely with product, research, developer experience, and go-to-market teams to figure out what "managed" should mean for the next generation of agents. You should be comfortable going deep on hard distributed systems problems, care about APIs as a product in their own right, and be motivated by turning ambiguous ideas into high-quality, shipped platform capabilities that other engineers build their products on. What you'll do Scale the platform. Managed Agents runs long-lived, stateful sessions that execute autonomously for minutes or hours/days, persist through disconnections, and resume cleanly — across Anthropic-hosted sandboxes, self-hosted environments on customer infrastructure, and other clouds. You'll design and operate the systems underneath that: durable session and event storage, sandbox orchestration, streaming, scheduling, and multi-tenant isolation. Reliability, latency, and cost efficiency are product features here, and you'll own them in production. Evolve the harness — and prove it with evals. The harness is the loop that calls Claude, routes tool calls, manages context (caching, compaction, memory), and recovers from errors. Harnesses encode assumptions about what the model can't yet do on its own, and those assumptions go stale as models improve. You'll work alongside research to revisit them with each model generation, build the eval infrastructure that measures harness quality against research baselines and real customer workloads, and hold the bar that lets us say our harness gets the most out of Claude. Help builders get the most out of Claude. Our customers — internal and external — are building agents both as products for their users and to transform their own operations. You'll ship the capabilities that raise the ceiling on what those agents can do: outcome-driven execution where developers specify success criteria and a budget and Claude iterates until it gets there, multi-agent orchestration, memory, and the observability and tracing that make long-running agents debuggable. The goal is the highest intelligence per dollar of any agent platform, delivered safely. Design APIs that outlast their implementations. Agents, environments, sessions, vaults, and event streams are interfaces thousands of developers build against and that our own products depend on. You'll shape those primitives — versioning, ergonomics across API, SDK, and CLI, sensible defaults, escape hatches — with the expectation that the implementations underneath will change many times while the contracts hold. You might be a good fit if you: Have a minimum of 8 years of practical experience as a backend, distributed systems, or infrastructure engineer Have built and operated stateful, long-running, or high-throughput systems in production — workflow orchestration, streaming, storage, container or job orchestration — and can reason rigorously about durability, consistency, failure modes, and cost Have strong product sense and treat API design as a craft; you care about the developer on the other side of the interface and can ideate and execute product strategy with cross-functional partners in new domains Are excited by 0 → 1 work and comfortable navigating ambiguity, and have ideally operated in both early-stage and more mature team or company settings Use Claude or other AI tools as a core part of how you build software, and have opinions about what makes an agent harness good Take full ownership of your work — from design through build, deployment, and operations (including on-call), to iterating on and improving what you ship Care about building systems that other engineers and businesses love to use, and about doing so safel Strong candidates may also have: Built or contributed to an agent harness, agent framework, or LLM orchestration layer — tool execution, context management, memory, or multi-agent coordination Worked on an AI or ML platform (model serving, inference infrastructure, developer tooling) at an AI lab or an AI-native product company, or led adoption of AI-driven development inside an engineering organization Built evaluation or benchmarking infrastructure for LLM or agent systems Experience with durable execution or workflow engines, sandboxed code execution, or container runtimes Shipped public developer platforms, APIs, or SDKs used by external developers at scale Deadline to apply: None. Applications will be reviewed on a rolling basis. Location Preference: Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Claude Platform is growing rapidly and serves developers and enterprises at scale. Reaching the next tier of enterprise customers requires transforming how and where we deploy it, as well as the set of features we support out of the box. The Distribution team owns that transformation: making the Claude API a cloud-native, managed product that runs wherever our customers need it, cross-cloud and on Anthropic's own infrastructure, with the enterprise-grade security, compliance, and operational capabilities to support it. This work is split across to major workstreams that are covered in the next section, and we need your help across both. What you'll do Claude Platform on the Clouds: You will make the Claude Platform a best in class offering on the Cloud Service Provider’s platform (AWS, GCP, Azure), by bringing our API, control plane and Anthropic features through the provider’s front door. You’ll do cross-cutting work across the clouds and also have the opportunity to go deeper with CSPs on native integrations across a range of deep technical problems at unprecedented scale. You’ll get to collaborate across the company with teams such as Infrastructure, Systems, Networking, Databases, Inference and more. Enterprise Readiness: You’ll make our platform even more suitable for Enterprise, shipping next gen enterprise enablement features that unblock our next wave of regulated customers or enable our existing ones to scale further. You’ll do so in an Enterprise SaaS context, with a specific focus on enterprise growth, security and compliance, with features ranging from key management & encryption, audit APIs, usage visibility, access control, and international data residency. You’ll also partner closely with core teams across the company, as well as collaborate with CSPs to make these available on our cloud platforms. You might be a good fit if you: Have a minimum of 8 years of practical experience as a backend or platform engineer building scalable distributed systems, ideally operating at tech lead level or equivalent Take a product-focused approach to platform work and care about building solutions that are robust, scalable, and easy to adopt by our customers Own large-scale infrastructure systems and lead ambiguous, cross-team technical projects from design through production and can do so independently. Have experience with cloud infrastructure (GCP, AWS, or Azure) at scale and/or Enterprise SaaS experience in a multi-tenant context, with background in security, compliance or data residency for regulated or sovereign cloud environments. Take full ownership of your work—from design through deployment and operations Are proficient in Python, Go, Rust, or similar systems language Deadline to apply: None. Applications will be reviewed on a rolling basis. Location Preference: Preference will be given to candidates based in NY or the Bay Area given the current location of team. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote, Canada; Remote, United Kingdom GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Backend Engineer on the Gitaly team, you’ll help build GitLab’s Git data storage tier, a standalone product that provides reliable, secure, and fast access to Git repositories through application programming interfaces (APIs) and storage operations. You’ll work at the boundary between GitLab and Git to make repository access performant and dependable for GitLab.com , self-managed customers, and GitLab Dedicated. Our work spans distributed storage, repository management, high availability, performance, observability, and operational excellence. We’re currently building the next generation of source code management (SCM), including new approaches to scaling Git storage and improving how repository data is managed and served. You’ll balance roadmap delivery, technical improvements, customer and reliability work, and operational support. We value pragmatic engineering, thoughtful trade-offs, continuous improvement, and sustainable ways of working while operating a service that’s critical to GitLab. Learn more on the Gitaly Team Page . What you’ll do Own moderately sized to complex technical initiatives from problem definition and proposal through implementation, rollout, monitoring, and operational follow-through. Act as the directly responsible individual for projects by aligning stakeholders, communicating progress and trade-offs, identifying risks, and keeping execution moving with minimal guidance. Lead technical design for distributed storage, Git repository management, performance, reliability, and scalability problems, using data and benchmarking to guide decisions. Partner with engineers and teams across GitLab, including Git, Infrastructure, Site Reliability Engineering, Dedicated, and customer-facing teams, to deliver cross-functional outcomes. Improve engineering practices through mentoring, documentation, knowledge sharing, design reviews, and constructive code reviews. Take operational ownership of the systems you work on, including incident response, post-incident improvements, capacity and performance analysis, and customer escalations. Identify opportunities to improve work beyond an individual change through automation, reusable designs, better dashboards, upstream contributions, and improvements to development and testing workflows. Respond to user emergencies, platform alerts, and support requests, including regular on-call duties. What you’ll bring Significant professional experience building, debugging, and optimizing distributed or highly available software systems in large-scale production environments. Experience owning complex projects end to end, including technical design, execution, rollout, and operational support. Strong systems design skills and the ability to reason about performance, failure modes, consistency, concurrency, capacity, and observability. A track record of influencing technical decisions and working effectively with stakeholders across teams and disciplines. Experience mentoring engineers, improving team practices, and raising the quality of designs, code, testing, and documentation. Strong written and verbal communication skills, including the ability to explain complex technical concepts and make trade-offs clear. Professional experience with Go or another backend or systems language. Experience operating production systems, participating in incident response, and turning operational learnings into durable improvements. Experience with Ruby, Git internals, gRPC, or Git server infrastructure is highly desirable. About the team The Gitaly team includes Backend Engineers who share ownership of the product’s design, implementation, reliability, and customer outcomes. We work autonomously while collaborating closely through design discussions, code reviews, incident response, documentation, and asynchronous communication. Engineers are encouraged to take ownership as directly responsible individuals, seek input early, make decisions transparently, and share knowledge across the team. Learn more on the Gitaly Team Page . How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Espoo Workplace: Hybrid Role highlights: - Senior Fullstack Engineer - Location: Espoo - Department: Engineering, Fleet Control and Communications - Reports to: Engineering Manager, Fleet UI - Employment type: Permanent - Workplace model: Hybrid - Employment is subject to applicable security screening (incl. SUPO, where required) Why this role matters: As a Senior Fullstack Engineer in Fleet UI team you will be building a mission-critical system used by satellite operators. The problems are technically rich: managing satellite configurations, visualizing orbits in 3D, managing passes across a global network of ground stations, automating mission operations and more. You will work in a domain where the UI decisions directly impact satellite mission outcomes. Who We Are ICEYE delivers space-based intelligence, surveillance, and reconnaissance (ISR) capabilities to governments and allied nations. This includes sovereign and turnkey ISR missions leveraging ICEYE’s world-leading synthetic aperture radar (SAR) satellite technology, as well as access to data from the world’s largest SAR satellite constellation. These capabilities enable partners to detect and respond to critical changes anywhere on Earth with unprecedented speed and accuracy – day or night and in any weather, supported by ultra high-resolution imagery and high-frequency revisits. As a trusted partner for defense, intelligence, security, and maritime domain awareness, ICEYE’s near real-time data creates a tactical advantage for mission-critical operations. Designed for dual use, the platform also serves civil protection and commercial users for natural-catastrophe intelligence, insurance, maritime monitoring (including oil-spill detection), and finance, contributing to global security and community resilience. ICEYE is headquartered in Finland and operates globally across Europe, North America, the Middle East, and Asia-Pacific. We have more than 900 employees, united by a shared vision: improving life on Earth by becoming the global source of truth in Earth Observation.   Your day-to-day responsibilities   - Build, and maintain features across a React + TypeScript project serving real-time satellite operations - Collaborate closely with a UI/UX designer in developing sophisticated UI components and data visualizations tools including timeline views, 3D globe rendering (Cesium), and pass planning interfaces - Contribute occasionally to backend APIs (Node, Python) to unblock delivery when needed - Drive frontend architecture decisions — state management strategy, component design, performance optimization - Support the team with DevOps work across multiple environments — including managing Docker-based deployments, configuring environment-specific runtime settings, and contributing to release workflows - Write and maintain unit tests (Jest + Testing Library) and end-to-end tests (Playwright) - Participate in code reviews, uphold coding standards, and mentor engineers on best practices - Contribute to CI/CD pipelines and oversee migration from Webpack 5 to Vite What we’re looking for Must haves: - 5+ years of professional experience building fullstack production-grade applications using React, TypeScript (ES6+) and Node - Experience writing clean, maintainable code in Python - Strong understanding of component-based architecture, modern React patterns, and state management approaches - Experience designing, developing, and consuming RESTful and GraphQL APIs - Solid testing discipline, including unit and end-to-end testing with tools such as Jest and Playwright - Experience with modern frontend tooling and build systems such as Vite, webpack, and npm - Proficiency with Git and collaborative development workflows Active use of AI-assisted development tools - Strong problem-solving skills and ability to debug complex, cross-layer issues - Understanding of web application security best practices - Relevant higher education degree in Computer Science, Software Engineering, or a related technical field Nice to haves - Solid understanding of API design, including REST principles and GraphQL schema design - Knowledge of database design and ORM frameworks - Experience with modern DevOps practices including CI/CD pipelines, containerization, and cloud platforms such as AWS - Familiarity with infrastructure and deployment tooling such as Kubernetes, Terraform, Helm, or ArgoCD Application Process - Talent Partner Screen Call - Hiring Manager Interview - Technical Interview - Values & Fit Interview WORKING AT ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority—with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing—at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. Base salary range for this position is 6 500 - 9 000 € per month (gross), depending on experience, and will be negotiated individually. OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Location: Hybrid - New York City About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role We are looking for a Product Manager, Observability to join our Product team. You will own the strategy and roadmap for Vercel's observability products, including Runtime Logs, OpenTelemetry tracing, and Drains, which let teams stream logs, traces, Web Analytics events, and Speed Insights metrics into the systems they already use. You will partner closely with engineering and design to help customers understand and debug what they run on Vercel, both through Vercel's native surfaces and through integrations with vendors that support OpenTelemetry. You will report to the product lead and will be located in New York, NY (hybrid). If you’re based within a pre-determined commuting distance of one of our offices (SF, NY, London, or Berlin), the role includes in-office anchor days on Monday, Tuesday, and Friday. If you're located beyond that distance, the role is fully remote. For location-specific details, please connect with our recruiting team. What you'll do Own strategy and roadmap for Vercel's observability products, from telemetry ingestion through the surfaces developers use to debug and monitor. Turn ambiguous signal — support escalations, customer interviews, usage data, competitive shifts — into a sequenced plan with clear tradeoffs. Partner daily with engineering on scoping, and with design on making dense telemetry data genuinely legible. Define the native-vs-integrate line: what Vercel builds, and where we make Datadog, Sentry, Grafana, Honeycomb, and New Relic work seamlessly. Work with Enterprise customers and Sales/Solutions on observability needs that block adoption or expansion. Own pricing and packaging decisions with Finance and GTM — observability is metered, and unit economics are part of the product. Write the launch narrative: changelogs, blog posts, docs direction, in partnership with PMM Define the metrics that tell you it's working, and hold the team to them. What you need 5+ years in product management, with meaningful time on developer, infrastructure, or data-intensive products. You've shipped something technical enough that engineers treated you as a peer. You can read a trace waterfall and reason about cardinality, sampling, and retention costs. Comfortable owning a domain end to end without a PM above you translating strategy into work. You use the products you build on, and you have opinions about the ones you don't. Fluency with data: you write your own queries and don't wait on someone else to answer a usage question. Bonus if you Have worked at an observability, APM, or monitoring company, or been the internal power user of one at scale. Have shipped AI or agent-facing developer tooling. Have owned consumption-based pricing for a technical product. Are an active Next.js or Vercel user. Benefits & Compensation: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $172,000 - $258,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: Remote (USA) Workplace: remote Arcadia is dedicated to happier, healthier days for all. We believe that there is a better healthcare world – one powered by data. Our platform transforms complex, diverse data into a unified foundation for health, helping organizations deliver better care, boost revenue, and lower costs.   We’re a team of fiercely driven individuals committed to making healthcare more sustainable—and we’re looking for passionate people to help us get there.   For more information, visit arcadia.io.   Arcadia helps healthcare and life sciences organizations deliver measurable results. We unify fragmented data across the healthcare ecosystem so payers, providers, ACOs, and life sciences companies can make confident decisions grounded in trustworthy intelligence. Our platform supports more than 200 organizations and 40 million attributed lives across value-based care, risk adjustment, population health, and life sciences programs.  Why This Role Is Important to Arcadia Arcadia is at a growth stage where the connective tissue between ideation, execution, and executive decision-making matters enormously. This primarily manifests across two areas today: (1) Growth (Strategy, Sales, and Retention & Expansion) and (2) cross-functional Executive initiatives. This role sits at that intersection: you will partner with the Chief Commercial Officer to identify and launch new growth initiatives—whether that's a new vertical, a new go-to-market partnership, or a new solution while also engaging directly with the executive team to drive alignment on the initiatives that matter most across the company. In practice, this typically plays out as roughly 75% of your time on commercial strategy and growth initiatives, and roughly 25% partnering directly with the executive team and supporting the Chief Executive Officer. This is a role of ownership and initiative, not execution-on-request. You will be given real latitude to define how new opportunities get approached, how cross-functional work gets organized, and how the executive team stays aligned—and you'll be trusted to run with it. You will report to the Chief Commercial Officer and partner closely with Product, Clinical, Value Enablement, Sales Engineering, Marketing, Actuary, Account Management, and the broader executive team. What You'll Be Doing Launch New Growth Initiatives You will partner across the Commercial, Value Enablement, and Product teams to identify and pursue new paths to growth—whether that's a new vertical, a strategic partnership, a new product or solution go-to-market motion, or another initiative altogether—taking ownership of the work from initial concept through initial traction. Identify and size new growth opportunities by understanding the market, our competitive position, and where Arcadia's assets and talent can be leveraged to win Build the business case for each opportunity: market sizing, financial rationale, resourcing needs, and risks, so leadership can make a clear go or no-go decision Partner with Thought Leadership, Value Enablement, Product, Clinical, Partnerships, and other domain SMEs as needed to shape the specifics of each initiative—what it is, who it's for, and how it comes together Build the GTM positioning and competitive differentiation for each initiative, grounded in Arcadia's outcomes-first brand and validated against real buyer needs Translate the business case into a tactical execution plan, and drive that plan forward: coordinate cross-functional workstreams, resolve dependencies, and keep the initiative moving toward real traction Define success criteria for each initiative and track progress against commitments Strengthen GTM Motion New markets don't succeed in isolation—they depend on a commercial engine that's tightly coordinated. You will take initiative to close gaps and accelerate growth across the teams that make GTM work and bring visibility into that progress at the executive level. Build and refresh competitive intelligence in target markets, synthesizing signals from win/loss data, market research, analyst commentary, and field input Collaborate with Value Enablement and Solutions Consulting to improve discovery-to-proposal velocity, solution credibility, and RFP quality Partner with Actuary to sharpen financial modeling, risk quantification, and ROI frameworks used in payer and risk-bearing organization deals Facilitate cross-functional alignment meetings, manage project tracking for strategic commercial initiatives, and proactively remove blockers Bring commercial progress, risks, and decisions needing executive input directly into board and executive committee conversations Executive Team Support As Arcadia scales, the initiatives that matter most increasingly cut across teams and leaders—commercial expansion chief among them. This role gives you a direct seat in that conversation, extending the alignment work you do in Commercial to the executive team as a whole. Drive the Executive Committee Operating Rhythm: Help shape and run the weekly executive committee meeting -- build agendas, synthesize pre-reads, capture decisions, and drive follow-through across leaders Partner on board meeting preparation, ensuring materials reflect a coherent narrative across commercial, product, and financial priorities Take ownership of cross-functional strategic initiatives that span multiple teams and executives, acting as the driver who keeps them moving and accountable Proactively surface where executive-level initiatives are stalling and broker resolution before they become bigger problems Take on special projects with the executive team as they arise, applying the same ownership and rigor used in the commercial work What Success Looks Like In the first 90 days, you have mapped the highest-priority growth opportunities in front of Arcadia, built relationships across Product, Clinical, Value Enablement, Marketing, and the executive team, and built the business case for at least one priority initiative. In year one, you have taken two or more growth initiatives from concept to real traction—whether new verticals, partnerships, or products—contributed measurably to pipeline generation and competitive win rates, and become a trusted driver of alignment within the executive committee and board cadence. What You'll Bring Required Seven or more years in healthcare GTM strategy, strategy consulting, or a commercial leadership role Deep fluency in the payer or provider landscape—you can speak credibly to value-based care, population health, risk adjustment, quality and Stars Demonstrated experience taking a growth idea from concept to traction in a B2B healthcare context—building the business case, shaping the go-to-market approach, and driving execution Experience partnering with executives or a board on operating rhythms, including meeting preparation, cross-functional tracking, and driving follow-through on strategic commitments Strong cross-functional collaborator who can align product, clinical, finance, sales, and executive stakeholders behind a common strategy Comfort working in ambiguity—this role requires structuring undefined problems and building the plan, not executing a defined playbook Excellent written and verbal communication; able to build crisp, compelling narratives for executive, board, and buyer audiences Preferred Experience with data and analytics platforms sold to payers, ACOs, or risk-bearing organizations Familiarity with buyer segments beyond traditional payer and provider markets—including self-funded employers, risk-bearing entities, or adjacent healthcare services organizations Prior experience as a chief of staff, or in a strategy-and-operations role partnering closely with a CEO or executive committee What You'll Get Competitive compensation and strong benefits Employee-driven programs and initiatives for personal and professional development Membership in the talented, energized, diverse, and purpose-driven Arcadian Community Be a part of a mission driven company that is transforming the healthcare industry by changing the way patients receive care About Arcadia Arcadia.io helps innovative providers and payers across the country transform healthcare to reduce cost while improving patient health. We do this by aggregating large amounts of disparate data, applying algorithms to identify opportunities to provide better patient care, and making those opportunities actionable by physicians at the point of care in near-real time. We are passionate about helping our customers drive meaningful outcomes. We are growing fast and have emerged as a market leader in the highly competitive population health management software market and have been recognized by industry analysts KLAS, IDC, Forrester, and Chilmark for our leadership. For a better sense of our brand and products, please explore our website. Protect Yourself If you have concerns about the authenticity of a job offer or recruitment-related communication claiming to be from Arcadia, we encourage you to verify by contacting us directly at (781) 202-3600 and select option 3. For more information, visit our website. This position is responsible for following all Security policies and procedures in order to protect all PHI under Arcadia's custodianship as well as Arcadia Intellectual Properties.  For any security-specific roles, the responsibilities would be further defined by the hiring manager. This role is bonus eligible

Location: Remote (North America) Workplace: Remote ABOUT CLIPBOARD Our mission is to uplift as many communities as possible. We do this through our app-based marketplace that connects healthcare professionals with the workplaces that need amazing workers. This enables hundreds of thousands of people to achieve financial stability for themselves and their families while providing essential care to millions of people across the U.S. Founded in 2016, we are a remote-first team of over 1,000 people building a top Y-Combinator company https://www.ycombinator.com/topcompanies/ and have been profitable since 2022. We’re the leader in Long-Term Care staffing and are rapidly expanding into Home Health, Hospitals, and more, meaning we have more work to do than people to do it, and are growing our team to support millions more people and their communities. ABOUT THE ROLE Clipboard is looking for a Sales Operations Analyst to help build and run the systems behind our sales organization. You'll work across Salesforce, data, automation, and internal tools to help our sales team operate more effectively. That might mean building an automation that eliminates a recurring workflow, investigating a messy data problem, redesigning part of our Salesforce setup, or building a new system from the ground up. We are a small team with an unusual operating model. Much of our execution runs through AI agents that we direct and quality-check, allowing each analyst to operate with the leverage of a much larger team. This is equal parts builder and operator. You'll own systems end to end, work through ambiguous requests from reps and leadership, and be accountable for making sure the things you build actually work. WHAT YOU'LL DO - Own live systems. Take ownership of production systems such as account distribution, deal intelligence, competitor tracking, and data sync pipelines. You'll be accountable for their accuracy and reliability. - Solve ambiguous problems. Work through requests from sales reps, managers, and leadership, figure out what is actually needed, and execute quickly. - Direct AI agents. Write specs and prompts, supervise AI agents, and rigorously QA their output before it touches production data. - Build automations and tools. Create scripts, scheduled jobs, Slack bots, and lightweight web apps that turn recurring manual work into scalable systems. - Analyze and report. Use SQL and other tools to answer important revenue questions and build reporting the organization can trust. - Guard data quality. Handle merges, deduplication, account mapping, enrichment, and other work required to keep our systems accurate at scale. WHAT WE'RE LOOKING FOR - Evidence of building. You've built scripts, automations, tools, systems, or other solutions to real problems. - AI-native working style. You already use AI to multiply your output and understand where it can fail and how to verify its work. - High judgment under ambiguity. You can take a loosely defined problem, figure out what matters, and know when to act versus when to ask. - Strong attention to detail. You're comfortable being the last line of defense before changes affect production systems and large datasets. - Bias to ownership. When something you own breaks, you don't just fix the immediate issue. You look for the underlying problem and improve the system. SQL and Python experience are strong pluses, but we're more interested in your curiosity, judgment, and ability to ship than checking every technical box. NICE TO HAVE - Salesforce administration or development experience, including flows, SOQL, or data model design. - Experience in Sales Operations, Revenue Operations, Business Operations, analytics, or a similar environment. - Experience building automations with tools, scripts, APIs, or AI agents. INTERVIEW PROCESS 1. Application Review – We'll review your experience and evidence of things you've built, automated, or owned. 2. Take-Home Assessment – A practical, ~2-hour assessment using a fictional company, mock website, and CRM. You'll have 48 hours to complete it, and AI tools are encouraged. 3. Technical Walkthrough – A 30-minute session where you'll demo what you built, explain your decisions, and make a small live change to your system. 4. Manager Interview – A 30-minute conversation focused on communication, ownership, judgment, and how you operate under ambiguity. 5. Final Steps / Offer! – Some candidates may have an executive conversation, followed by references and an offer. WHAT WE OFFER - Competitive base salary - Insurance benefits + 401k options - Unlimited PTO and flexible holidays - Remote-first working environment To get a better understanding of the general type of people we want to hire, you can check out our blog here. https://creatingvalue.substack.com/     Quick Note on Scammers: Clipboard would never ask you for money or your bank details to participate in our hiring process. Report any scammers impersonating the Clipboard hiring team members here https://forms.gle/SyGaxHFbon7Hg9fW6.

Location: London Workplace: onsite Creatio is an AI CRM and workflow platform where people and AI agents work together — with no limits on users, agents, or scale. We help midsize and large organizations run customer workflows in the AI era. With a global team and a large ecosystem of partners, Creatio serves thousands of customers in over 100 countries and automates tens of millions of workflows daily. Genuine care for our clients and partners is at the heart of our DNA. We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports.  In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture. Who we're looking for: AI Consultant to join our London office and help enterprises identify, design, and launch high-value AI agents with measurable outcomes. Sitting at the intersection of business consulting, AI strategy, and solution design, you'll be a trusted advisor to our customers — driving their AI strategies, creating AI adoption roadmaps, and designing AI agent concepts and specifications. You'll collaborate cross-functionally with AI engineers, product, solution engineering, sales, and customer success teams to ensure agents are deployed, scaled, and delivering high ROI to our customers' businesses. Key Responsibilities: Collaborate with customers to develop AI adoption roadmaps and identify potential opportunities for AI use cases. Gain a deep understanding of each customer's domain and business processes to prioritize the most impactful AI use cases, based on business impact and technical feasibility. Translate business problems and opportunities into solution concepts, requirements, and implementation proposals, with success metrics and guardrails. Design AI agent solutions and redesign workflows around them — removing repetitive work, unlocking new possibilities. Define how AI agents integrate with enterprise systems — CRM, ERP, SaaS applications, APIs, MCPs, workflows. Prepare agent specifications and solution documentation that enable delivery teams to implement successfully. Collaborate with Sales, Customer Success, Product, and Delivery teams across pre-sales, implementation, and adoption. Support customer presentations and executive discussions around AI strategy. Stay up to date with emerging AI technologies, agentic AI trends, and industry best practices. Required Skills & Competencies: Strong skills in business analysis, process design, value mapping, and discovery. Familiarity with modern LLMs, AI agent architecture, and business process automation; comfort with APIs and integrations. Experience in Solution Consulting, AI Consulting, Solution Implementation, Business Consulting, or a similar customer-facing role. Hands-on experience designing or launching AI-powered solutions or AI agents. Experience translating business requirements into solution designs. Experience working with enterprise customers and multiple stakeholders. Excellent executive communication and presentation skills. Strong analytical and systems thinking. Excellent spoken and written English. What to expect from us: Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential. Flexibility & Well-Being: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally. Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one. Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve. Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.

Location: București, Romania Workplace: hybrid EveryMatrix is a leading B2B SaaS provider delivering iGaming software, content and services. We provide casino, sports betting, platform and payments, and affiliate management to 300 customers worldwide. But that's not all! We're not just about numbers, we're about people. With a team of over 1400 passionate individuals spread across twelve countries in Europe and Asia, we're all united by our love for innovation and teamwork. Join us on this exciting journey as we continue to redefine the iGaming landscape, one groundbreaking solution at a time. We are looking for Platform Technical Leader to join our team in Bucharest! About the job: The Platform Technical Leader (EM3 & PaaS) will define and drive the architecture and technical operating model for EveryMatrix’s next-generation Platform as a Service. The role will enable EM3 and the wider EM2030 transformation through secure, reliable, automated, and self-service platform capabilities that can operate across datacentres and cloud environments at fleet scale. The role reports to the Platform Engineering Leader and remains within the existing Platform Engineering organization. It will initially have no separate team or direct reports. Delivery will be achieved through technical leadership and dedicated contributors allocated from the existing Platform Engineering streams and specialist teams on a project basis. The role will help shape the future technology-oriented Platform Engineering model and the development of SRE and DevSecOps capabilities without creating a parallel organization. The successful candidate will initially lead the EM3 and PaaS technical direction without a separate team or direct reporting line. Results will be delivered through architecture ownership, technical leadership, organizational influence, and dedicated capacity allocated from existing teams. The candidate must be able to lead engineers and technical outcomes at scale while people management, capacity ownership, and operational accountability remain with the existing Platform Engineering leadership structure. Responsibilities: Define the EM3 and PaaS target architecture, platform principles, roadmap, and reference patterns. Design the platform control plane, management APIs, desired-state model, and fleet-wide lifecycle-management approach. Define automated provisioning, configuration, upgrades, patching, recovery, rollback, version compliance, and decommissioning across infrastructure, Kubernetes, and platform services. Design deployment patterns for single-tenant and smaller multi-tenant environments across datacentres and public cloud. Establish platform products, self-service interfaces, service catalogue standards, golden paths, and reusable blueprints. Define reliability standards, service ownership, production readiness, SLI/SLO practices, observability, resilience testing, and the future SRE operating model. Embed security by default through DevSecOps practices, policy as code, secrets and identity controls, supply-chain security, compliance automation, and automated evidence. Lead cross-team architectural decisions and align Platform Engineering, Infrastructure, DBA, Networking, Security, Architecture, and Product Engineering. Define technical acceptance criteria and decision gates for proof of concept, production readiness, lifecycle readiness, security readiness, and operational readiness. Work with the Platform Engineering Leader on capacity planning, project allocation, skills development, targeted hiring, and the progressive transition to technology-oriented platform domains. Mentor senior engineers and help develop future Platform Engineering, SRE, and DevSecOps leaders. Drive outcomes that allow platform scale to grow without proportional growth in manual operational effort. Own our private cloud infrastructure as a product, setting the technical direction and the roadmap for how it evolves; Define and publish a service catalogue with clear ownership and clear interfaces, so that provisioning compute, storage, environments and infrastructure is a self-service call for our development teams; Deliver secure CI/CD as a service, with pipelines, secrets management, access control and compliance controls built into the platform by default rather than added afterwards; Set, measure and report on SLAs, capacity plans and cost transparency for every service the chapter provides; Establish the engineering standards of the chapter, including infrastructure as code, peer review, automated testing and observability, and hold the team to them; Embed AI-assisted engineering in how the chapter works day to day, and measure the effect it has on delivery speed and quality; Partner with development, architecture and security so that platform capabilities match what our product teams need; Take accountability for the reliability of the platform, including on-call arrangements, incident response, and post-incident learning. Requirements: Proven experience designing, building, or transforming a large-scale internal platform or Platform as a Service capability. Experience with Kubernetes and infrastructure lifecycle management across multiple clusters, locations, or tenants. Strong knowledge of Kubernetes, containers, networking, identity, secrets, storage, distributed data services, and observability. Experience with Infrastructure as Code, GitOps, declarative configuration, reconciliation, platform APIs, and policy-driven automation. Experience delivering automated upgrades, patching, rollback, recovery, and version management. Experience defining platform products, self-service services, service ownership, and operating models. Strong understanding of SRE practices and the design of reliable, observable, production-ready services. Strong understanding of DevSecOps, software supply-chain security, platform security, and automated compliance controls. Experience leading complex technical change across multiple teams without direct organizational authority. Excellent communication and stakeholder-management skills. Nice to have: Experience establishing Platform Engineering, SRE, or DevSecOps capabilities. Experience with hybrid, on-premises, private-cloud, and public-cloud platforms. Experience with single-tenant and multi-tenant deployment models. Experience with Kubernetes fleet management, progressive delivery, upgrade rings, and low-downtime change. Experience with PostgreSQL, ClickHouse, Kafka, Redis, Elasticsearch, or similar distributed services. Experience in regulated, audited, or high-availability environments. Here's what we offer: Start with 22 days of annual leave, with 2 additional days added each year, up to 32 days by your fifth year with us. Hybrid work schedule is available after the first three months of employment, in line with the company policy. Benefit from two Free Fridays each year, limited to one per quarter. 3 sick leave days per year, no doctor's note required. Daily catered lunch or monthly lunch allowance. Private Medical Subscription. Access online learning platforms like Udemy for Business and a budget for external training. Access to an Employee Assistance Program through TELUS Health. Our office perks include parking, on-site massages, and frequent team-building activities in various locations. And did we mention our amazing office space complete with its own pool and gym? At EveryMatrix, we're committed to creating a supportive and inclusive workplace where you can thrive both personally and professionally. Come join us and experience the difference! EveryMatrix is a member of the World Lottery Association (WLA) and European Lotteries Association. In September 2023 it became the first iGaming supplier to receive WLA Safer Gambling Certification. EveryMatrix is proud of its commitment to safer gambling and player protection whilst producing market leading gaming solutions.

Location: Paris, France About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. À propos du poste En tant qu'ingénieur·e en IA appliquée au sein de notre équipe Entreprise, votre rôle est de guider certaines des plus grandes entreprises de France vers la frontière de l'IA et de les aider à déployer Claude dans leurs opérations, leurs produits et leurs méthodes de travail. Vous deviendrez le·la spécialiste incontournable de la plateforme Claude et le·la conseiller·ère technique de confiance de vos clients, en conseillant leurs équipes d'ingénierie sur l'architecture, la conception d'agents et l'évaluation, et en travaillant avec les dirigeants et les cadres supérieurs qui sponsorisent ces programmes pour démontrer la valeur ajoutée de Claude et les aider à prendre une décision éclairée quant à l'adoption de Claude. Les transactions avec les entreprises sont différentes. Les cycles d'approvisionnement sont plus longs, davantage de parties prenantes sont impliquées, et la réussite dépend de la capacité à relier le travail technique aux résultats qui importent pour le conseil d'administration. Vous serez tout aussi à l'aise pour conseiller une équipe d'ingénierie sur l'évaluation et l'architecture que pour présenter un dossier de valeur à un CIO ou un CTO, et vous porterez le fil technique à travers chaque étape d'un engagement s'étalant sur plusieurs trimestres. Une grande partie de ce travail se déroule en français, avec des cadres dirigeants et des équipes d'ingénierie françaises, c'est pourquoi un français natif ou courant est essentiel pour ce poste. Vous travaillerez en étroite collaboration avec les responsables de comptes Entreprise et les architectes IA appliquée pour accompagner chaque client depuis la première conversation, à travers l'évaluation technique, la création de valeur et les achats, jusqu'à la décision de développer sur Claude. Une fois leur décision prise, vous préparerez leur partenaire d'intégration système à assurer la mise en œuvre, en définissant ensemble l'architecture cible et les critères de réussite, et vous resterez proche du client en tant que conseiller·ère technique sur Claude pendant tout le déploiement, tandis que le partenaire se chargera de la construction. En travaillant aux côtés des équipes Produit et Ingénierie d'Anthropic, vous mettrez à profit votre connaissance de la plateforme Claude pour conseiller sur l'évaluation, recommander des architectures répondant aux exigences de sécurité et d'échelle des entreprises, et créer les ressources techniques et commerciales qui aident les grandes organisations à réussir avec Claude. Responsabilités Travailler en partenariat avec les responsables de comptes et les architectes en IA appliquée pour accompagner les clients entreprises en France depuis le premier échange jusqu'à la décision d'adopter Claude, en passant par l'évaluation technique, la validation de la valeur et le processus d'achat Piloter le volet technique de chaque opportunité jusqu'à cette décision, et rester le·la conseiller·ère technique du client sur Claude pendant son déploiement Préparer les clients et leurs partenaires d'intégration de systèmes à assurer la livraison : convenir de l'architecture cible, définir les critères de réussite, et rester disponible pour conseiller l'équipe de livraison au fur et à mesure de l'avancement de la construction Guider les clients grandes entreprises vers l'avant-garde de l'IA, en les conseillant sur la manière de déployer Claude dans leurs opérations, leurs produits et leurs méthodes de travail Aider les équipes d'ingénierie des clients à voir comment elles pourraient développer sur Claude, en couvrant l'architecture, la conception d'agents et l'évaluation, afin qu'elles puissent prendre une décision en toute confiance Élaborer et présenter le dossier de valeur commerciale de Claude auprès des dirigeants et des cadres supérieurs, en français et en anglais, en associant les capacités techniques à des résultats mesurables tels que les coûts, les revenus, les risques et le délai de mise sur le marché Guider les clients à travers de longs cycles d'approvisionnement et d'adoption impliquant de multiples parties prenantes, notamment les évaluations techniques, les preuves de concept, les revues de sécurité et d'architecture, jusqu'à la définition d'une feuille de route claire vers la mise en production Travailler avec les responsables de comptes sur la stratégie de compte, la qualification des opportunités commerciales et les plans d'engagement des dirigeants, et avec les architectes en IA appliquée pour assurer la continuité et le partage du contexte à travers chaque engagement Organiser des briefings exécutifs, des ateliers techniques et des sessions de formation destinés à la fois aux dirigeants et aux équipes d'ingénierie Naviguer au sein des exigences de l'entreprise en matière de sécurité, de conformité, de résidence des données et de gouvernance, en collaborant avec les équipes internes d'Anthropic si nécessaire Identifier les modèles à travers les engagements auprès des entreprises et transmettre les informations aux équipes Produit, Ingénierie et à l'équipe IA appliquée élargie Se rendre sur les sites des clients en France pour des réunions de direction, des ateliers et l'établissement de relations Vous conviendrez particulièrement si vous avez Le français comme langue maternelle ou courant, écrit et parlé, car vous travaillerez au quotidien avec des clients entreprises français, aussi bien au niveau des dirigeants qu'au niveau ingénierie Plus de 6 ans d'expérience en tant qu'ingénieur·e logiciel, architecte de solutions, ingénieur·e en déploiement avancé ou fondateur·rice technique Une expérience dans un poste d'avant-vente ou de conseil technique auprès de grandes entreprises, idéalement sur le marché français, y compris la définition du périmètre et la conception de solutions complexes Une expérience dans la vente basée sur la valeur, ce qui signifie que vous êtes en mesure d'élaborer un dossier commercial, de quantifier l'impact et de le présenter à des décideurs de haut niveau L'aisance à présenter et à établir des relations avec des parties prenantes de niveau C et VP Une expérience dans la prise en charge de la réussite technique des transactions avec les entreprises : évaluations, preuves de concept et audits techniques préalables avec les équipes d'ingénierie, de sécurité, juridique et des achats Une expérience en production avec des applications propulsées par des LLM, incluant le prompting, l'ingénierie du contexte, les architectures d'agents, les cadres d'évaluation et le déploiement à grande échelle Une expérience pratique en ingénierie, incluant la conception et le déploiement d'applications en production, afin de pouvoir échanger avec les responsables techniques et leurs équipes Une familiarité avec les exigences en matière de sécurité, de conformité et d'architecture d'entreprise, et une expérience dans la résolution de ces problématiques avec les équipes clientes La capacité à expliquer clairement des concepts complexes d'IA à des publics techniques et dirigeants, et à naviguer entre des secteurs tels que les services financiers, les soins de santé, le commerce de détail et l'industrie manufacturière Un intérêt marqué pour la mise en place de technologies puissantes sûres et bénéfiques About the role As an Applied AI Engineer on our Enterprise team, your role is to guide some of France's largest businesses to the frontier of AI and help them deploy Claude into their operations, their products, and their ways of working. You will become the go-to Claude Platform specialist and trusted technical advisor for your customers, advising their engineering teams on architecture, agent design, and evaluation, and working with the C-level and senior executives who sponsor these programmes to show the business value Claude can create and help them reach a confident decision to build on Claude. Enterprise deals are different. Procurement cycles are longer, more stakeholders are involved, and success depends on being able to connect the technical work to the outcomes the boardroom cares about. You will be as comfortable advising an engineering team on evaluation and architecture as you are presenting a value case to a CIO or CTO, and you will carry the technical thread across every stage of a multi-quarter engagement. Much of this work happens in French, with French executives and engineering teams, so native or fluent French is essential for the role. You will partner closely with Enterprise Account Executives and Applied AI Architects to take each customer from first conversation, through technical evaluation, proof of value and procurement, to the decision to build on Claude. Once they have decided, you set their systems integration partner up to deliver, agreeing the target architecture and what good looks like, and you stay close as the customer's technical advisor on Claude throughout deployment, while the partner does the build. Working alongside Anthropic's Product and Engineering teams, you will use your knowledge of the Claude Platform to advise on evaluation, recommend architectures that meet enterprise security and scale requirements, and create the technical and business resources that help large organisations succeed with Claude. Responsibilities Partner with Enterprise Account Executives and Applied AI Architects to take enterprise customers in France from first conversation, through technical evaluation, proof of value and procurement, to the decision to build on Claude Lead the technical side of each opportunity through to that decision, and remain the customer's technical advisor on Claude as they deploy Set customers and their systems integration partners up to deliver: agree the target architecture, define what good looks like, and stay on hand to advise the delivery team as the build progresses Guide enterprise customers to the frontier of AI, advising them on how to deploy Claude into their operations, their products, and their ways of working Help customer engineering teams see how they would build on Claude, covering architecture, agent design and evaluation, so they can make a confident decision Build and present the business value case for Claude with C-level and senior executives, in French and English, linking technical capabilities to measurable outcomes such as cost, revenue, risk, and time to market Guide customers through long, multi-stakeholder procurement and adoption cycles, including technical evaluations, proofs of concept, security and architecture reviews, and a clear path to production Work with Account Executives on account strategy, deal qualification, and executive engagement plans, and with Applied AI Architects to keep context and continuity across every engagement Run executive briefings, technical workshops, and enablement sessions for both leadership and engineering audiences Navigate enterprise requirements around security, compliance, data residency, and governance, working with Anthropic's internal teams where needed Identify patterns across enterprise engagements and feed insights back to Product, Engineering, and the wider Applied AI team Travel to customer sites across France for executive meetings, workshops, and relationship building You may be a good fit if you have Native or fluent French, written and spoken, as you will work day to day with French enterprise customers at both executive and engineering level 6+ years of experience as a Software Engineer, Solutions Architect, Forward Deployed Engineer, or technical founder Experience in a pre-sales or technical advisory role selling into large enterprises, ideally in the French market, including scoping and designing complex solutions Experience with value-based selling, meaning you can build a business case, quantify impact, and present it to senior decision makers Comfort presenting to, and building relationships with, C-level and VP-level stakeholders Experience owning the technical win in enterprise deals: evaluations, proofs of concept and technical due diligence with engineering, security, legal and procurement teams Production experience with LLM-powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale A hands-on engineering background, including building and deploying production applications, so you can relate to engineering leaders and their teams Familiarity with enterprise security, compliance, and architecture requirements, and experience working through them with customer teams The ability to explain complex AI concepts clearly to both technical and executive audiences, and to move between industries such as financial services, healthcare, retail, and manufacturing A passion for making powerful technology safe and beneficial The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: €220.000 — €235.000 EUR Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Tbilisi, Georgia; Armenia; Serbia; Kazakhstan; Turkey Location : Remote (CET or within ±3 hours) Type : Full-time Compensation : Base + KPI-based performance bonus We are looking for a Russian-speaking B2C Growth Marketing Manager who can combine structured marketing leadership with hands-on execution of high-leverage work. This is a full-time, fully remote role for someone who can work closely with the founder, turn many marketing ideas into a clear growth plan, identify the strongest lead generation opportunities, discard distractions, execute with discipline, and own the numbers for B2C growth, lead generation, and revenue. About Transparent Hiring Transparent Hiring changes people’s lives by helping them find jobs and relocate to countries with a high quality of life, making the process as smooth and predictable as possible. We are an IT recruiting and relocation company specializing in helping English-speaking IT professionals find jobs in Germany and Europe. We support candidates through the full journey: job search, positioning, applications, interviews, job offer, visa, relocation, and settling into a new country. Our headquarters are in Bavaria, Germany, and our distributed team works remotely across Europe and Central Asia. We operate 100% remotely and accept candidates from anywhere, as long as your working hours sufficiently overlap with ours. About The Role This role is a mix of marketing strategy, funnel ownership, hands-on execution, and coordination of a small marketing team . You will work directly with the founder, who brings many ideas, hypotheses, and business priorities. Part of your job is to help turn these inputs into a focused marketing plan. More importantly, we expect you to bring your own growth marketing expertise: identify high-impact approaches we have not tried yet, and turn the strongest opportunities into practical campaigns, experiments, and funnel improvements. You will own the plan, prioritize strategies, channels, and campaigns, define what success looks like, track results, understand what worked and what did not, and adjust the strategy based on data. This is not a role for simply organizing other people's ideas; we are looking for someone who can shape the growth agenda and make strong recommendations based on experience, data, and customer insight. Our B2C marketing funnel includes social (Telegram/Instagram/LinkedIn), paid acquisition, lead magnets, webinars, lifecycle communication, and consultation-based conversion. You will work with internal and external contributors across content, paid acquisition, operations, and analytics. You may add freelancers or other external specialists when needed. As the function grows, success in this role should also create the case for hiring more marketing specialists and delegating more hands-on work. Key Responsibilities Identify and prioritize key lead gen opportunities (strategies, channels, campaigns) and discard the rest. Proactively suggest and test high-impact growth marketing approaches that could improve lead quality, funnel conversion, and revenue. Plan marketing activities, then execute the plan together with the internal marketing team and external specialists. Set and achieve growth, lead gen and revenue KPIs. Measure, understand and report on what worked and what not. Own and improve the B2C funnel from awareness to lead and purchase, including ad campaigns, lead magnets, landing pages, email sequences, and marketing materials. What Success Looks Like In this role, success means that marketing becomes more structured, measurable, and connected to business outcomes. You will be successful if: You deliver a clear and focused marketing plan that achieves monthly goals with given resources. Marketing activities are executed according to the plan and deliver results. Marketing ideas are captured, prioritized, and either executed or intentionally declined. Growth, lead generation, and revenue KPIs are clearly defined, measured and achieved. Marketing reports explain what worked, what did not, and what we will do differently. Requirements Fluent Russian language. Fluent English at C1 level. Experience working in a startup-like environment: limited resources, fast pace, and short feedback loops. Experience coordinating marketers, agencies or freelancers. Hands-on funnel owner: you can set direction, brief and manage contributors, and personally execute high-leverage work when needed. Ability to design core marketing systems: funnel structure, automation, tracking, and reporting. Strong analytical skills - you are good with numbers. Structured thinking. Clear communication in spoken and written form (towards stakeholders as well as marketing audiences). Strong self-organization. Attention to detail. Nice To Have Any of the following can be applied in our marketing, so it will be a plus but is not required: Experience in EdTech, career, recruiting, relocation, immigration, or professional services. Marketing workflow automation: n8n / Zapier / Make / Gumloop, or similar tools. Experience planning and setting up email sequences and lifecycle campaigns. Experience with chatbot automations in Instagram/Telegram/WhatsApp. Performance marketing: Facebook, Instagram, LinkedIn, or similar paid social channels. Experience with webinars or online events. Experience with Google Analytics and Google Tag Manager. SEO experience with tools such as Ahrefs, Semrush, Google Search Console, or similar. Landing page creation and CMS experience, such as WordPress. Conditions And Benefits KPI-based performance bonus will be a significant part of your total comp. Direct work with the founder and short feedback loops. High ownership and visible impact from the first weeks. Supportive international team. Opportunity to shape the B2C marketing system, not just execute tasks. Full-time role. Fully remote work. We are deeply dedicated to our mission and expect the same level of focus from you. This role requires full attention and a deep dive into our business, audience, offers, and numbers. It cannot be combined with client work, employment, or projects that reduce availability, focus, or create conflicts of interest. How To Apply Send us your CV and a short note explaining: Your greatest achievement in a similar role. Which KPIs you owned. How you usually prioritize marketing ideas when there are more ideas than time.

Location: Baku Workplace: hybrid ABOUT YOU  We are looking for a Site Reliability Engineer who is pragmatic, product-minded, and equally comfortable writing code and running production systems to join our Infrastructure department's SRE team. The best candidate will be someone who thrives in a fast-paced, highly collaborative, and exceptionally dynamic setting and is excited to own the application-level infrastructure and reliability of a high-traffic commerce domain end to end - from deploy pipelines and Kubernetes manifests to SLOs, capacity planning, and production readiness. Strong Kubernetes, observability, and software engineering skills are essential, along with experience in operating production services in a cloud environment (GCP/GKE or comparable) and partnering closely with product development teams. The ability to hold a dual perspective - understanding both how developers ship features and what infrastructure needs to stay reliable - and to bring the reliability lens into design decisions early will be key to your success in this role. If you're passionate about making complex distributed systems boringly reliable and love building the commerce and monetization backbone that lets game developers around the world get paid, we would love to hear from you! ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. Responsibilities Own the application-level infrastructure: Helm charts, Terraform configurations, Kubernetes deployments, runtime configuration, and service-level networking and integrations Own the domain's observability: design and implement SLOs/SLIs, monitors, alerts, and dashboards for critical services on Datadog and OpenTelemetry-based tooling Help to set up and evolve CI/CD pipelines for domain services (GitLab CI, GitHub Actions), including deploy and rollback automation Perform capacity planning and performance tuning ahead of expected load - product launches, sales events, and regional rollouts - including load testing and performance regression investigation Run Production Readiness Reviews for new services and major changes; define and enforce what "production-ready" means for the domain Support domain incident response: assist with deep investigation of complex incidents, contribute to post-mortems, drive follow-up reliability improvements, and maintain runbooks Build domain-specific automation that reduces operational toil: runbook automation, deploy helpers, recurring operational scripts Maintain and drive a forward-looking reliability roadmap for the domain together with product engineering leads Participate in product team planning, refinements, and architecture reviews, bringing the reliability perspective before design decisions become expensive to change Co-author company-wide SLO/SLI, capacity, and operational standards together with the broader SRE team; contribute improvements directly to shared SRE-operated subsystems Participate in the SRE duty rotation, supporting developers across the company Qualifications & Skills 3+ years of proven SRE, DevOps, or platform engineering experience: on-call or incident response duty, SLO/monitoring ownership, deploy pipeline and infrastructure work for production services Software development background: you have built and shipped backend services, not only operated them - comfortable reading application code during an investigation and writing production-quality automation in at least one language (e.g., Go, PHP) Hands-on Kubernetes experience: Helm, manifests, deploy strategies, debugging application-level performance and networking issues (GKE or another managed Kubernetes) Solid observability practice: building monitors, dashboards, and SLOs/SLIs on a modern platform (Datadog preferred; Prometheus/Grafana experience also relevant), familiarity with OpenTelemetry Infrastructure as Code exposure (Terraform/Terragrunt) for collaboration with platform teams GCP experience (IAM, networking, managed services) Experience building and maintaining CI/CD pipelines (GitLab CI and/or GitHub Actions) Programming/scripting proficiency sufficient to build automation and tooling (e.g., Python, Go, or Bash) Practical experience with incident response, post-mortems, and driving reliability improvements from incidents Strong collaboration and communication skills — this role works embedded with product development teams daily Experience in payments, fintech, e-commerce, or gaming — high-traffic transactional systems Nice to Have: Kubernetes certifications Google Cloud Platform certifications HashiCorp certifications Benefits We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we're not just building a business; we're cultivating a community that values creativity, collaboration, and the transformative power of play. Equal Employment Opportunity Statement Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act. Criminal History Consideration For the Site Reliability Engineer position, we will conduct a background check that may include the following: Criminal history check Employment verification Education verification Relevance to Job Responsibilities The background check is relevant to this position because of the following role responsibilities: Accessing confidential company data Handling infrastructure that processes sensitive financial transactions Ensuring compliance with regulatory requirements Rights Under the Fair Chance Act Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com. By submitting the following job application form, you consent to Xsolla processing your data for career-related inquiries and potential employment opportunities. We process your data in accordance with this Xsolla Privacy Notice for Job Applicants. Please direct any inquiries regarding your data privacy to careers@xsolla.com.